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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 8574
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    INDEX
    Explanations

    mentions of the term "bot" in the text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of robots or automated entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    journal
    -0.76
    mble
    -0.75
    uncture
    -0.74
    egal
    -0.68
    eway
    -0.62
    ournal
    -0.59
    VEN
    -0.58
     ACTION
    -0.58
     simultane
    -0.57
     Koen
    -0.57
    POSITIVE LOGITS
    anical
    1.16
    cham
    0.99
    anooga
    0.97
    ãĤ´ãĥ³
    0.89
    zeb
    0.89
    leneck
    0.88
    ania
    0.88
    herer
    0.88
    assium
    0.87
    wana
    0.86
    Activations Density 0.008%

    No Known Activations